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  4. Using Automatic Speech Recognition to Evaluate Team Processes in Aviation - First Experiences and Open Questions
 
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July 9, 2023
Conference Paper
Title

Using Automatic Speech Recognition to Evaluate Team Processes in Aviation - First Experiences and Open Questions

Abstract
This paper reports on the application of automatic speech recognition (ASR) for the analysis of team communication. Shortening the time needed to derive literal transcripts of team communication is seen as an enabler to conduct team process analysis more often in applied research. First, the theoretical background, the connection between teamwork and communication and the state-of-the-art of ASR is described. Second, one use case of collaboration is described in detail to understand the specifics of the observed communication. Applying the nearly untrained ASR to this data yielded a word error rate of 36%. These results and required performance are discussed. The outlook discusses the use of a new generation of ASR models and their expected performance benefits.
Author(s)
Papenfuss, Anne
Deutsches Zentrum für Luft- und Raumfahrt -DLR-, Projektträger Arbeitsgestaltung und Dienstleistungen  
Schmidt, Christoph Andreas  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Mainwork
Engineering Psychology and Cognitive Ergonomics. 20th International Conference, EPCE 2023. Proceedings. Pt.II  
Conference
International Conference on Human-Computer Interaction 2023  
International Conference on Engineering Psychology and Cognitive Ergonomics 2023  
DOI
10.1007/978-3-031-35389-5_34
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Keyword(s)
  • automatic speech recognition

  • communication analysis

  • teamwork

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